Application of Storage Location Assignment Problem Using Rolling Horizon Approach and Hybrid Sequence Stacking Algorithm
Abstract
This study focuses on the problem of operational decision making for stacking of outgoing containers. A container station has multiple interfaces in the global transport network. Containers are temporarily stored in ports to explain differences in the arrival time of sea and land carriers. Incoming and outgoing container operations are different. The incoming containers arrive at the shipyard in large batches but depart from the shipyard in unpredictable rows one by one when requested. This leads to unforeseen time losses. Containers leaving the port depart as expected but arrive in a random order. They must be loaded according to a strict storage plan to ensure stability of the ships and meet the loading requirement - this is indicated by the destination and the size of the containers. The storage location assignment for incoming containers is very important in terms of improving the efficiency of container transport and reducing the turnaround time of a ship. For this reason, this problem should be examined in detail and effective solution methods should be found. There are many planning periods horizon. This leads to uncertainty. To overcome this uncertainty, the rolling horizon approach is used. In this study, 13 planning period horizons are taken into account. Each day was divided into 4 periods of 6 hours each. Therefore, a storage location plan is created for the next 12 periods in each period. Only the first period of the plan is executed and at the end of the first period a new plan is created based on the latest information. Hybrid Sequence Stacking Algorithm was used to solve these plans. The performance of the method used in the solution of the problem considered in this study is evaluated according to the number of rehandle operation. The less this number, the more successful the method. As a result of the application, only 3 of 13 periods needed to be rehandle operation.
Keywords
Kaynakça
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Ayrıntılar
Birincil Dil
Türkçe
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
31 Ekim 2019
Gönderilme Tarihi
1 Ağustos 2019
Kabul Tarihi
24 Ekim 2019
Yayımlandığı Sayı
Yıl 1970